MRI
MRI India Journals Vol. 15 No. 1S (2026): Special Issue: Integration of AI Management Engineering and Technology

Emergency Vehicle Guidance System

Authors

  • Omkar D. Bisale Department of Computer Engineering, Genba Sopanrao Moze College of Engineering Balewadi, Pune, India
  • Aditya S. Bhosale Department of Computer Engineering, Genba Sopanrao Moze College of Engineering Balewadi, Pune, India
  • Vaibhav S. Kalagate Department of Computer Engineering, Genba Sopanrao Moze College of Engineering Balewadi, Pune, India
  • Chirag D. Dhokchawale Department of Computer Engineering, Genba Sopanrao Moze College of Engineering Balewadi, Pune, India
  • Harshalata Toke Department of Computer Engineering, Genba Sopanrao Moze College of Engineering Balewadi, Pune, India

DOI:

https://doi.org/10.65521/ijeecs.v15i1S.3092

Keywords:

Smart Traffic Management IoT Communication MQTT Protocol Real-Time Signal Control Road Safety Enhancement

Abstract

Every day, traffic conditions in both rural and urban areas are getting worse and worse. In such situations, if there is an emergency like a medical crisis, fire, road accident, or natural disaster, emergency vehicles need to move through heavy traffic. At these critical times, even a difference of a few milliseconds can mean the difference between life and death. To deal with this problem, we need to take effective steps and create a strong system that helps guide emergency vehicles to find the best path, even when traffic is getting worse.

 

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Published

2026-05-23

How to Cite

Bisale, O. D., Bhosale, A. S., Kalagate, V. S., Dhokchawale, C. D., & Toke, H. (2026). Emergency Vehicle Guidance System. International Journal of Electrical, Electronics and Computer Systems, 15(1S), 308–312. https://doi.org/10.65521/ijeecs.v15i1S.3092

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